{"id":501226,"url":"https://alion.io/job/accenture-ai-llm-technology-architecture-associate-director","title":"AI LLM Technology Architecture Associate Director","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2137,"ghost_share":0.001,"stale_share":0.182,"repost_share":0.007,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":196000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4188},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Defense in Depth","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"Function Calling","optional":false},{"name":"IAM","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false}],"status":"live","first_seen_at":"2026-09-07T09:49:39Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-11-13T04:23:42Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":66},"description":"YOU ARE\nAs a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions - spanning classical machine learning, generative AI, and agentic systems - ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards. A defining dimension of this role is your ability to operateat the executive level - working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect. In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists - across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference - providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified, enterprise-ready system. You will set the architectural direction, resolve cross-domain tensions, and make the criticaldesign decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI - staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations. Your perspective on where AI is heading will be soughtby clients, practice leadership, and peers alike. You will evaluate and make definitive decisions on design patterns, technical frameworks, reference architectures, and technology selections - balancing innovation with pragmatism to deliver systems that are robust, scalable, and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability - and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale - including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications - and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders the clarity and confidence to execute. Your work will be instrumental in defining how the most ambitious clients adopt, scale, and lead with AI - setting a standard for what advanced AI architecture can and should look like, and delivering transformational, lasting business value.\nTHE WORK\nPartner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical vision\n\nLead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage\n\nOwn the complete, end-to-end technical solution for complex AI platforms - ensuring every domain is cohesively designed and aligned to business objectivesand enterprise standards\n\nTranslate the governing architecture principles into a concrete, defensible technical solution that domain teams build against\n\nBuild innovative prototypes and proofs of concept hands-on, using emerging technologies to de-risk decisions and prove value early\n\nPerform technology assessments and comparisons, making definitive, evidence-based recommendations on tools, frameworks, and platforms\n\nSet the architectural direction for model- and tool-agnostic multi-agent ecosystems - orchestration, memory, and tool/skill use - governed through a registry-bound AI Gateway\n\nEstablish the agent registry and certification model that mandates no uncertified agent reaches production\n\nDefine memory as a first-class abstracted platform service, decoupled from any underlying vendor engine\n\nDefine the foundation model and inference strategy - adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing\n\nSet the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms\n\nOwn the architecture of the enterprise context layer - knowledge graphs, ontologies, vector search, and semantic retrieval - grounding the solution in client knowledge\n\nSet the design direction for context assembly and memory that manages prompts, context windows, and conversational state across the platform\n\nBe accountable for security, governance, observability, performance, and scalability addressed holistically and consistently across every domain\n\nEstablish the identity and authorization model - per-agent identity, IAM/IAP binding, and defense-in-depth enforcement\n\nDefine the layered guardrail framework applied at every boundary, balancing protection with performance\n\nGovern the MCP control plane - registry, gateway, and risk scoring - across all internal and third-party servers\n\nMandate adopt-over-build for productized evaluation and observability stacks\n\nEstablish FinOps as a first-class concern - usage labelling, gateway-enforced budgets, and cost-per-archetype as a planning input\n\nMake the definitive decisions on design patterns, reference architectures, frameworks, and technology selections, balancing innovation with pragmatism\n\nLead and integrate the work of domain architects and specialists, resolving cross-domain tensions into a unified, enterprise-ready system\n\nBuild the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stance\n\nConduct deep-dive architecture workshops and working sessions with client executives and engineering teams\n\nProduce and govern the authoritative architecture artifacts - blueprints, reference architectures, ADRs, and integration specifications - that guide delivery at scale\n\nServe as a recognized thought leader in AI, shaping the practice's point of view and representingthe firm externally through publications and conference engagements\n\nBASIC (REQUIRED) QUALIFICATION\nProven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generativeand classical AI/ML using at least one cloud vendor.\n\nProven experience in the LLM and Generative AI space.\n\nProven experience architecting and operationalizing LLM driven application architecture patterns.\n\nProven experience in engineering, machine learning, deep learningand NLP solutions and applications. Minimum of 6 years of experience as a machine architect in the industry designing big data,machine learning. large scale analytical engineering solutions\n\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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